DOCSLIB.ORG

Human Mortality Database (HMD)

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Human Mortality Database (HMD) Research Team Acknowledgements University of California, Berkeley This project would not have been possible without the enthusi- asm and assistance of a large number of individuals at various Magali Barbieri (Associate Director) institutions. Demographers and statisticians from around the Carl Boe world have contributed to this project by supplying data and/or Gabriel Mendes Borges expert advice for a particular country or area. We are grateful Monica Howlett for all their contributions. Celeste Winant Lisa Yang The HMD receives financial and logistical support from its two sponsoring institutions, the Department of Demography at the University of California, Berkeley (UCB) and the Max Planck Institute for Demographic Research (MPIDR). The UCB Max Planck Institute for Demographic Research team receives financial support from the National Institute on Aging (NIA), the French Institute for Demographic Studies (INED), Vladimir Shkolnikov (Director) and it benefits from the supportive infrastructure of the Dmitri Jdanov NIA-funded Center on the Economics and Demography of Aging Domantas Jasilionis (CEDA) at UCB. Pavel Grigoriev Sigrid Gellers-Barkmann Sebastian Kluesener Human Contact Mortality [email protected] Former members of the core HMD team www.mortality.org Database John Wilmoth, HMD Founding Director (UN) www.mortality.org Dana Glei (Georgetown University, USA) Kirill Andreev (United Nations) University of California, Berkeley (UCB) 2232 Piedmont Ave Berkeley, CA 94720-2120 www.demog.berkeley.edu Free access to detailed mortality data Others who have worked for this project in the past include: Mila Andreeva, Vladimir Canudas-Romo, Leo Deegan, Carolyn Hart, Max Planck Institute for Demographic Research Marguerite Higa, Romano Lasker, Nadine Ouellette, Timothy Riffe, Konrad-Zuse-Strasse 1 A joint project of Marian Rigney-Hawksworth, Pierre Vachon, Long Wang, Lijing 18057 Rostock, Germany Yan (all UCB), Evgeny Andreev, Michael Bubenheim, Rembrandt [email protected] Department of Demography Scholz, Guiping Liu, Dimiter Philipov, Eva Kibele (all MPIDR). www.demogr.mpg.de at the University of California Background Trends in life expectancy Countries The Human Mortality Database (HMD) is the world´s leading data resource on Trends in life expectancy at birth by sex from 1970 to 2010 for HMD populations As of March 2016 the database contains detailed population and mortality data mortality in developed countries. More than 30,000 users worldwide have and population groups. for 38 countries (and some sub-populations): registered on the HMD website. The HMD was created to provide detailed mortality and population data to Country/ Area Period Life Tables Cohort Life Tables researchers, students, journalists, policy analysts, and others interested in the Australia 1921-2011 - 80 history of human longevity. The project began as an outgrowth of earlier projects Male Austria 1947-2014 - in the Department of Demography at the University of California, Berkeley, USA Belarus 1959-2014 - Belgium 1841-2012 - (UCB), and at the Max Planck Institute for Demographic Research in Rostock, 75 Germany (MPIDR). Bulgaria 1947-2010 - Canada 1921-2011 - Chile 1992-2005 - We have followed four guiding principles in constructing this database: 70 Czech Republic 1950-2014 - comparability, flexibility, accessibility, and reproducibility. Denmark 1835-2011 1835-1920 Estonia 1959-2012 - 65 Types of data Finland 1878-2012 1878-1921 France 1816-2013 1816-1922 The HMD contains data for (mostly) national populations, including: Germany 1990-2013 - 60 Population exposures and death counts at the finest detail available East Germany 1956-2013 - Original calculations of death rates and life tables, in a variety of formats West Germany 1956-2013 - Greece 1981-2013 55 These indicators are computed on the basis of raw (input) data by means Hungary 1950-2009 - 1970 1980 1990 2000 2010 of a uniform set of methods. The input data consist of: Iceland 1838-2013 1838-1922 Death counts from vital statistics Ireland 1950-2014 - Census counts Israel 1983-2014 - Birth counts 85 Female Italy 1872-2012 1872-1921 Japan 1947-2012 - Population estimates from various sources Latvia 1959-2013 - 80 Lithuania 1959-2013 - The HMD website Luxembourg 1960-2014 - Netherlands 1850-2012 1850-1921 You are welcome to download and analyze any data provided on 75 New Zealand 1948-2013 - www.mortality.org free of charge. New Zealand, Maori 1948-2013 - Example of country page: New Zealand, Non-Maori 1901-2013 - 70 Norway 1846-2014 1846-1923 Poland 1958-2014 - Portugal 1940-2012 - Individual populations Established 65 market economies Russia 1959-2014 - All populations Slovakia 1950-2014 - Central and Slovenia 1983-2014 - 60 Former Soviet Union Eastern Europe Spain 1908-2012 - Sweden 1751-2014 1751-1919 Switzerland 1876-2011 1876-1918 55 Taiwan 1970-2010 - 1970 1980 1990 2000 2010 U.K. 1922-2013 - U.K., England & Wales 1841-2013 1841-1922 Source of the graph: U.K., Scotland 1855-2013 1855-1922 Data Resource Profile: The human Mortality Database. U.K., Northern Ireland 1922-2013 - Int. J. Epidemiol. (2015) doi: 10.1093/ije/dyv105 U.S.A. 1933-2013 - Ukraine 1959-2013 -.
Load more

Recommended publications
  • Publications Using the HMD in Years 1997 – 2013
    Publications Using the HMD in Years 1997 – 2013 Table of Contents Official Reports ................................................................................................................................................... 1 Books and Book Chapters .............................................................................................................................. 4 Journal Articles ................................................................................................................................................ 12 Dissertations and Theses .............................................................................................................................. 63 Technical Reports, Working, Research and Discussion Papers ......................................................... 67 Introduction The following comprises a list of publications that rely on data from the Human Mortality Database. It resorts to the Google Scholar web search engine1 using “Human mortality database” and “Berkeley mortality database” as the search expressions. The expressions may appear anywhere in the publication (title, abstract, body). Works that used the BMD are identified by “[BMD]” at the end of the citation; all other publications used the HMD. This version of the HMD reference list concentrates on scholarly articles and books, dissertations, technical reports and working papers published from January 1997 up to the end of November 2013. The list also includes all publications by the HMD team members based on analyses of
    [Show full text]
  • Appendix 2: Publications and Other Works Using Data from the Human
    Publications Using the HMD or BMD Table of Contents Introduction.............................................................................................................................................1 Official Reports.......................................................................................................................................1 Books and Book Chapters......................................................................................................................2 Journal Articles.......................................................................................................................................8 Dissertations and Theses.....................................................................................................................27 Technical Reports and Working Papers...............................................................................................29 Introduction The following comprises a list of publications that rely on data from the Human Mortality Database (HMD) or the Berkeley Mortality Database (BMD). Works that used the BMD are identified by “[BMD]” at the end of the citation; all other publications used the HMD. This list is probably not a complete list of all publications based on the HMD, as there may be others that remain unknown to us. The publications are grouped into six categories: i) official reports, ii) books and book chapters, iii) journal articles, iv) dissertations and theses, v) technical reports and working papers. Official Reports 1. Balkwill,
    [Show full text]
  • Program Third HMD Symposium Expanding the Human Mortality Database: Data by Cause and by Region
    4 Appendix 1 – Scientific program Third HMD Symposium Expanding the Human Mortality Database: Data by Cause and by Region THURSDAY, JUNE 17, 2010 9:30 am – 10:00 am Introduction Chantal Cases – Director of INED Vladimir Shkolnikov – Co-Director of HMD, MPIDR John Wilmoth – Co-Director of HMD, UC Berkeley 10:30 am – 11:15 pm I. –Extending the HMD to include cause-of-death data Expanding the HMD to include cause-of-death data Magali Barbieri (INED, France, and UC Berkeley, United States) and Carl Boe (UC Berkeley, United States) Comparing cause specific mortality over time and across countries: An overview of methodological issues France Meslé (INED, France) and Jacques Vallin (INED, France) 11:30 am – 1:00 pm II. -Constructing series of deaths by cause: Methodological issues Comparability issues observed in the reconstructed time series of three European countries Markéta Pechholdová (Charles University, Czech Republic) A mathematical approach for detecting and correcting structural changes in time series of causes of death Ronald van der Stegen (Beusichem, The Netherlands), Fanny Janssen (University of Groningen, The Netherlands), Peter Harteloh, Jan Kardaun, and Wiet Koren. Provisional plan for the Japanese Mortality Database and its cause-of-death data Futhoshi Ishii (National Institute of Population and Social Security Research, Japan) Discussant: Géraldine Duthé (INED, France) 2:00 pm – 4:00 pm III - Constructing series of deaths by cause: Applications and data analysis Producing cause-of-death statistics in Italy: State of the art
    [Show full text]
  • Demographic Responses to Economic and Environmental Crises
    Demographic Responses to Economic and Environmental Crises Edited by Satomi Kurosu, Tommy Bengtsson, and Cameron Campbell Proceedings of the IUSSP Seminar May 21-23, 2009, Reitaku University Kashiwa, Japan, 2010 Reitaku University Copyright 2010 Authors of this volume No part of this book may be reproduced in any form without permission from the authors Reitaku University Hikarigaoka 2-1-1, Kashiwa, Chiba 277-8686 Japan ii Preface This volume is the proceedings of the IUSSP (International Union for the Scientific Study of Population) seminar on “Demographic Responses to Sudden Economic and Environmental Change.” The seminar took place in Kashiwa, Chiba, Japan, May 21- 23, 2009. The fourteen papers presented at the seminar are included in this volume. The seminar was followed by a public symposium “Lessons from the Past: Climate, Disease, and Famine” in which five participants of the seminar presented and discussed issues related to the seminar to an audience that included 245 scholars, students and members of the public. Two additional papers presented at the symposium are also included in this volume. The seminar was organized by the IUSSP Scientific Panel on Historical Demography and hosted by Reitaku University. The seminar received support from Reitaku University and was held in cooperation with the Centre for Economic Demography, Lund University and the Population Association of Japan. The public symposium was organized as part of a series of events to commemorate the 50th anniversary of Reitaku University. The topic of the seminar was timely not only in the academic sense, but also in a practical sense, with the simultaneous worldwide outbreak of H1N1 flu.
    [Show full text]
  • Excess Deaths Associated with Covid-19 Pandemic in 2020
    RESEARCH Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high BMJ: first published as 10.1136/bmj.n1137 on 19 May 2021. Downloaded from income countries Nazrul Islam,1,2 Vladimir M Shkolnikov,3,4 Rolando J Acosta,5 Ilya Klimkin,4 Ichiro Kawachi,6 Rafael A Irizarry,5,7 Gianfranco Alicandro,8 Kamlesh Khunti,9,10 Tom Yates,9,11 Dmitri A Jdanov,3,4 Martin White,2 Sarah Lewington,1,12 Ben Lacey1 For numbered affiliations see ABSTRACT model that accounts for temporal trends and seasonal end of the article. OBJECTIVE variability in mortality. Correspondence to: N Islam To estimate the direct and indirect effects of the [email protected] RESULTS (ORCID 0000-0003-3982-4325) covid-19 pandemic on mortality in 2020 in 29 high An estimated 979 000 (95% confidence interval Additional material is published income countries with reliable and complete age and 954 000 to 1 001 000) excess deaths occurred in online only. To view please visit sex disaggregated mortality data. 2020 in the 29 high income countries analysed. All the journal online. DESIGN countries had excess deaths in 2020, except New C ite this as: BMJ 2021;373:n1137 Time series study of high income countries. Zealand, Norway, and Denmark. The five countries http://dx.doi.org/10.1136/bmj.n1137 with the highest absolute number of excess deaths Accepted: 29 April 2021 SETTING Austria, Belgium, Czech Republic, Denmark, England were the US (458 000, 454 000 to 461 000), Italy and Wales, Estonia, Finland, France, Germany, (89 100, 87 500 to 90 700), England and Wales Greece, Hungary, Israel, Italy, Latvia, Lithuania, the (85 400, 83 900 to 86 800), Spain (84 100, 82 800 to Netherlands, New Zealand, Northern Ireland, Norway, 85 300), and Poland (60 100, 58 800 to 61 300).
    [Show full text]
  • Effect of the Covid-19 Pandemic in 2020 on Life Expectancy BMJ: First Published As 10.1136/Bmj.N1343 on 23 June 2021
    RESEARCH Effect of the covid-19 pandemic in 2020 on life expectancy BMJ: first published as 10.1136/bmj.n1343 on 23 June 2021. Downloaded from across populations in the USA and other high income countries: simulations of provisional mortality data Steven H Woolf,1 Ryan K Masters,2 Laudan Y Aron3 1Center on Society and Health, ABSTRACT decreased by 1.87 years (to 76.87 years), 8.5 times Virginia Commonwealth OBJECTIVE the average decrease in peer countries (0.22 years), University School of Medicine, To estimate changes in life expectancy in 2010-18 widening the gap to 4.69 years. Life expectancy in Richmond, VA, USA and during the covid-19 pandemic in 2020 across the US decreased disproportionately among racial 2Department of Sociology, Health and Society Program and population groups in the United States and to and ethnic minority groups between 2018 and Population Program, Institute of compare outcomes with peer nations. 2020, declining by 3.88, 3.25, and 1.36 years in Behavioral Science, University Hispanic, non-Hispanic Black, and non-Hispanic of Colorado Population Center, DESIGN University of Colorado Boulder, Simulations of provisional mortality data. White populations, respectively. In Hispanic and CO, USA non-Hispanic Black populations, reductions in life SETTING 3Urban Institute, Washington, expectancy were 18 and 15 times the average in US and 16 other high income countries in 2010- DC, USA peer countries, respectively. Progress since 2010 in 18 and 2020, by sex, including an analysis of US Correspondence to: S H Woolf reducing the gap in life expectancy in the US between outcomes by race and ethnicity.
    [Show full text]
  • Human Mortality Database (HMD) Example of Country Data Page As of May 2012 the Database Contains Detailed Celebrates Its 10Th Anniversary
    Research Team Acknowledgements University of California, Berkeley This project would not have been possible without the John Wilmoth (Director) enthusiasm and assistance of a large number of individuals Magali Barbieri (Project Coordinator) at various institutions. Demographers and statisticians Carl Boe from around the world have contributed to this project by Nadine Ouellette supplying data and/or expert advice for a particular country Timothy Riffe or area. We are grateful for all their contributions. Celeste Winant 3GDÄ',#ÄQDBDHUDRÄÆÄM@MBH@KÄ@MCÄKNFHRSHB@KÄRTOONQSÄEQNLÄ Lisa Yang its two sponsoring institutions, the Department of Mila Andreeva (Rockefeller University, USA) Demography at the University of California, Berkeley (UCB) and the Max Planck Institute for Demographic Research Max Planck Institute for Demographic Research ,/(#1 Ä3GDÄ4"!ÄSD@LÄQDBDHUDRÄÆÄM@MBH@KÄRTOONQSÄEQNLÄ Vladimir Shkolnikov (Co-Director) SGDÄ-@SHNM@KÄ(MRSHSTSDÄNMÄ FHMFÄ-( Ä@MCÄADMDÆÄSRÄEQNLÄSGDÄ Dmitri Jdanov supportive infrastructure of the NIA-funded Center on the Domantas Jasilionis Economics and Demography of Aging (CEDA) at UCB. Pavel Grigoriev Sigrid Gellers-Barkmann Evgueni Andreev (New Economic School, Russia) Human Contact Former members of the core HMD team Mortality Dana Glei (Georgetown University, USA) E-mail: [email protected] Kirill Andreev (United Nations) Database Vladimir Canudas-Romo (Johns Hopkins University, USA) Department of Demography www.mortality.org at the University Others who have worked for this project in of California University of California, Berkeley (UCB) the past include: 10 years of work for the international Leo Deegan, Carolyn Hart, Marguerite Higa, 2232 Piedmont Ave Romano Lasker, Marian Rigney-Hawksworth, Berkeley, CA 94720-2120 RBHDMSHÆÄBÄBNLLTMHSX Pierre Vachon, Long Wang, Lijing Yan (all UCB), http://www.demog.berkeley.edu Michael Bubenheim, Rembrandt Scholz, Guiping Liu, Dimiter Philipov, Eva Kibele (all MPIDR).
    [Show full text]
  • Women Live Longer Than Men Even During Severe Famines and Epidemics
    Women live longer than men even during severe PNAS PLUS famines and epidemics Virginia Zarullia,b, Julia A. Barthold Jonesa,b, Anna Oksuzyanc, Rune Lindahl-Jacobsena,b, Kaare Christensena,b,d,e, and James W. Vaupela,b,f,g,1 aMax Planck Odense Center on the Biodemography of Aging, University of Southern Denmark, DK-5230 Odense, Denmark; bDepartment of Public Health, University of Southern Denmark, DK-5000 Odense, Denmark; cMax Planck Research Group Gender Gaps in Health and Survival, Max Planck Institute for Demographic Research, 18057 Rostock, Germany; dDepartment of Clinical Genetics, Odense University Hospital, DK-5000 Odense, Denmark; eDepartment of Clinical Biochemistry and Pharmacology, Odense University Hospital, DK-5000 Odense, Denmark; fMax Planck Institute for Demographic Research, 18057 Rostock, Germany; and gDuke University Population Research Institute, Duke University, Durham, NC 27708 Contributed by James W. Vaupel, November 22, 2017 (sent for review February 6, 2017; reviewed by Tommy Bengtsson and France Mesle) Women in almost all modern populations live longer than men. conditions is sparse. A well-known story concerns the Donner Research to date provides evidence for both biological and social Party, a group of settlers that lost twice as many men as women factors influencing this gender gap. Conditions when both men when stranded for 6 mo in the extreme winter in the Sierra and women experience extremely high levels of mortality risk are Nevada mountains (13). While accounts like this are anecdotal, a unexplored sources of information. We investigate the survival of variety of studies provide evidence that women appear to survive both sexes in seven populations under extreme conditions from cardiovascular diseases, cancers, and disabilities longer than men famines, epidemics, and slavery.
    [Show full text]
  • Official Population Statistics and the Human Mortality Database Estimates of Populations Aged 80+ in Germany and Nine Other European Countries
    Demographic Research a free, expedited, online journal of peer-reviewed research and commentary in the population sciences published by the Max Planck Institute for Demographic Research Konrad-Zuse Str. 1, D-18057 Rostock · GERMANY www.demographic-research.org DEMOGRAPHIC RESEARCH VOLUME 13, ARTICLE 14, PAGES 335-362 PUBLISHED 17 NOVEMBER 2005 http://www.demographic-research.org/Volumes/Vol13/14/ DOI: 10.4054/DemRes.2005.13.14 Descriptive Finding Official population statistics and the Human Mortality Database estimates of populations aged 80+ in Germany and nine other European countries Dmitri A. Jdanov Rembrandt D. Scholz Vladimir M. Shkolnikov This article is part of Demographic Research Special Collection 4, “Human Mortality over Age, Time, Sex, and Place: The 1st HMD Symposium”. Please see Volume 13, publications 13-10 through 13-20. © 2005 Max-Planck-Gesellschaft. Table of Contents 1 Introduction 336 2 Methods and data 338 2.1 Methods for re-estimation of the population size at ages 80+. A 338 brief summary of HMD methodology 2.1.1 Re-estimations of populations 338 2.1.2 Quality of data on deaths 341 2.2 Country data series 342 3 German population estimates since 1956 344 4 A comparison of the population estimates since 1950 for other 351 countries 5 Absolute differences 352 6 Factors of deviation from the HMD estimates 356 7 Summary of findings and discussion 358 References 360 Demographic Research: Volume 13, Article 14 descriptive finding Official population statistics and the Human Mortality Database estimates of populations aged 80+ in Germany and nine other European countries Dmitri A. Jdanov 1 Rembrandt D.
    [Show full text]
  • WHO Methods and Data Sources for Life Tables 1990-2016
    WHO methods and data sources for life tables 1990-2016 Department of Information, Evidence and Research WHO, Geneva March 2018 Global Health Estimates Technical Paper WHO/HIS/IER/GHE/2018.2 Acknowledgments This Technical Report was written by Colin Mathers and Jessica Ho with inputs and assistance from Dan Hogan, Wahyu Retno Mahanani, Doris Ma Fat and Gretchen Stevens. WHO life tables were primarily prepared by Jessica Ho and Colin Mathers of the Mortality and Health Analysis Unit in the WHO Department of Information, Evidence and Research (in the Health Systems and Innovation Cluster of WHO, Geneva). Data and methods used for this update of life tables were developed with advice and assistance from a WHO Lifetables Working Group, established by the WHO Reference Group on Global Health Statistics. We also drew on advice and inputs from the Interagency Group on Child Mortality Estimation (UN IGME), the UN Population Division, UNICEF and UNAIDS. We would particularly like to note the assistance and inputs provided by Patrick Gerland, Bruno Masquelier, Francois Pelletier, Danzhen You and Lucia Hug. Estimates and analysis are available at: http://www.who.int/gho/mortality_burden_disease/en/index.html http://www.who.int/gho For further information about the estimates and methods, please contact [email protected] Recent papers in this series 1. CHERG-WHO methods and data sources for child causes of death 2000-2015 (Global Health Estimates Technical Paper WHO/HIS/HSI/GHE/2016.1) 2. WHO methods and data sources for life tables 1990-2015 (Global Health Estimates Technical Paper WHO/HIS/IER/GHE/2016.2) 3.
    [Show full text]
  • Human Mortality Over Age, Time, Sex, and Place: the 1St HMD Symposium”
    Demographic Research a free, expedited, online journal of peer-reviewed research and commentary in the population sciences published by the Max Planck Institute for Demographic Research Konrad-Zuse Str. 1, D-18057 Rostock · GERMANY www.demographic-research.org DEMOGRAPHIC RESEARCH VOLUME 13, ARTICLE 10, PAGES 223-230 PUBLISHED 17 NOVEMBER 2005 http://www.demographic-research.org/Volumes/Vol13/10/ DOI: 10.4054/DemRes.2005.13.10 Summary Introduction to the Special Collection “Human Mortality over Age, Time, Sex, and Place: The 1st HMD Symposium” Vladimir M. Shkolnikov John R. Wilmoth Dana A. Glei This article is part of Demographic Research Special Collection 4, “Human Mortality over Age, Time, Sex, and Place: The 1st HMD Symposium”. Please see Volume 13, publications 13-10 through 13-20. © 2005 Max-Planck-Gesellschaft. Table of Contents 1 The Human Mortality Database 224 2 The HMD Symposium 225 3 Summary of the articles 225 4 Acknowledgements 229 References 230 Demographic Research: Volume 13, Article 10 a summary Introduction to the Special Collection “Human Mortality over Age, Time, Sex, and Place: The 1st HMD Symposium” Vladimir M. Shkolnikov 1 John R. Wilmoth 2 Dana A. Glei 3 Abstract This introduction to the special collection “Human Mortality over Age, Time, Sex, and Place: The 1st HMD Symposium” describes the Human Mortality Database project and briefly summarizes the Special Collection articles. This article is part of Demographic Research Special Collection 4, “Human Mortality over Age, Time, Sex, and Place: The 1st HMD Symposium”. Please see Volume 13, Publications 13-10 through 13-20. 1 Max Planck Institute for Demographic Research, Rostock, Germany E-mail: [email protected] 2 United Nations Population Division (on leave from the University of California, Berkeley) E-mail: [email protected] 3 University of California, Berkeley; 1512 Pembleton Place, Santa Rosa, CA, 95403-2349, USA.
    [Show full text]
  • Universidade Federal De Minas Gerais Centro De Desenvolvimento E Planejamento Regional Programa De Pós-Graduação Em Demografia
    Universidade Federal de Minas Gerais Centro de Desenvolvimento e Planejamento Regional Programa de Pós-Graduação em Demografia VANGUARDS OF LONGEVITY: THE CASE OF BRAZILIAN AIR FORCE MILITARY Vanessa Gabrielle di Lego Gonçalves Belo Horizonte 2017 Ficha Catalográfica Gonçalves, Vanessa Gabrielle di Lego. G635v Vanguards of longevity [manuscrito] : the case of brazilian Air 2017 Force military / Vanessa Gabrielle di Lego Gonçalves – 2017. 72 f.: il., gráfs. e tabs. Orientador: Cássio M. Turra. Tese (doutorado) - Universidade Federal de Minas Gerais, Centro de Desenvolvimento e Planejamento Regional. Inclui bibliografia (f. 53-64). 1. Mortalidade - Militares - Brasil - Teses. 2. Longevidade - Teses 3. Demografia - Teses. I. Turra, Cássio Maldonado. II. Universidade Federal de Minas Gerais. Centro de Desenvolvimento e Planejamento Regional. III. Título. CDD: 338.473621981 Elaborada pela Biblioteca da FACE/UFMG – JN001/2018 Universidade Federal de Minas Gerais Faculdade de Ciências Econômicas Centro de Desenvolvimento e Planejamento Regional Vanguards of Longevity: The case of Brazilian Air Force military Vanessa Gabrielle di Lego Gonçalves Tese submetida à banca examinadora designada pelo Colegiado do Programa de Pós-Graduação em Demografia da Universidade Federal de Minas Gerais, como parte dos requisi- tos necessários à obtenção do grau de Doutora em Demografia. Orientador: Prof. Cássio M. Turra, PhD Belo Horizonte, Dezembro de 2017 Abstract In the demographic study of mortality, there has been growing attention to population subgroups that are more likely to first benefit from mortality progress or benefit more intensively than others. Some authors define these subgroups as “vanguard” populations (Evgueni et al. 2014; Caselli and Luy 2014). Focusing on mortality trajectories of vanguard populations can be instrumental to disentangling the pathways to longer lives and isolating specific risk factors (Evgueni et al.
    [Show full text]